COMPSCI 170 Lecture Notes - Feasible Region, Profit Maximization

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We are planting peas and carrots and we want to know how much of each in order to obtain the greatest pro t. Here is the information we have: // 1. Here are the resulting constraints where x1 is peas and x2 is carrots: money: max{4x1 + 2x2} sunny land: 3x1 60 shady land: 3x2 75 water: 3x1 + 2x2 100 non-negative: x1, x2 0. There are uncountably in nite points that it could possibly be though! In a convex graph (such as this one), any two points in a region connected by a line is still in a region. Optimal point? vertex of a region (intersection of two constraints). Though not all intersections are still inside the feasible region! Idea: try every vertex! m constraints with 2 variables o(m2) vertices. m constraints with n variables (cid:0)m (cid:1) which is nite but still exponential. n. No proof exists but in practice it works in polynomial time.

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